README.md

metadata

title: Cyber-LLM Research Platform
emoji: 🛡️
colorFrom: green
colorTo: blue
sdk: docker
pinned: false
license: mit
short_description: Cybersecurity AI Research Platform with HF Models

🛡️ Cyber-LLM Research Platform

Advanced Cybersecurity AI Research Environment for threat analysis, vulnerability detection, and security intelligence using Hugging Face models.

🚀 Features

• Advanced Threat Analysis: Multi-model AI analysis for cybersecurity threats
• Code Vulnerability Detection: Automated security code review and analysis
• Multi-Agent Research: Distributed cybersecurity AI agent coordination
• Real-time Processing: Live threat intelligence and incident response
• Interactive Dashboard: Web-based research interface for security professionals

🔧 API Endpoints

• GET / - Main platform dashboard
• POST /analyze_threat - Comprehensive threat analysis
• GET /models - List available cybersecurity models
• GET /research - Interactive research dashboard
• POST /analyze_file - Security file analysis
• GET /health - Platform health check

🤖 Available Models

• microsoft/codebert-base - Code analysis and vulnerability detection
• huggingface/CodeBERTa-small-v1 - Lightweight code understanding
• Custom Security Models - Specialized cybersecurity AI models

💻 Usage

Quick Threat Analysis

curl -X POST "https://unit731-cyber-llm.hf.space/analyze_threat" \
  -H "Content-Type: application/json" \
  -d '{
    "threat_data": "suspicious network activity detected on port 443",
    "analysis_type": "comprehensive"
  }'

Interactive Research

Visit the /research endpoint for a web-based cybersecurity research dashboard.

🔬 Research Applications

• Threat Intelligence: Advanced AI-powered threat analysis and classification
• Vulnerability Research: Automated discovery and analysis of security vulnerabilities
• Incident Response: AI-assisted cybersecurity incident investigation and response
• Security Code Review: Automated security analysis of source code and configurations
• Penetration Testing: AI-enhanced security testing and red team operations

🛠️ Development

This platform is built using:

• FastAPI - High-performance web API framework
• Hugging Face Transformers - State-of-the-art AI model integration
• Docker - Containerized deployment for scalability
• Python 3.9 - Modern Python runtime environment

🔐 Security Focus

This research platform is designed specifically for cybersecurity applications:

• Ethical Research: All capabilities designed for defensive security research
• Professional Use: Intended for security professionals and researchers
• Educational Purpose: Advancing cybersecurity through AI research
• Open Source: Transparent and community-driven development

🌐 Links

• GitHub Repository: 734ai/cyber-llm
• Hugging Face Space: unit731/cyber_llm
• Documentation: Available at /docs endpoint
• Research Dashboard: Available at /research endpoint

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🔬 Advancing Cybersecurity Through AI Research